[Hiring] Lead AI Solution Architect @Gramian Consulting Group

Role Description

Our client is a Big4 Consultancy group that works with leading financial institutions on AI-driven transformation, automation, advanced analytics, and financial crime prevention. Their work spans:

• Intelligent fraud detection
• AML/KYC modernization
• Autonomous workflows
• Enterprise AI platforms
• The secure industrialization of AI in highly regulated environments

We are looking for a Lead AI Solution Architect to define the end-to-end technical blueprint for enterprise AI initiatives within the insurance sector. The role focuses on:

• LLM architecture
• Orchestration
• Cloud infrastructure
• Enterprise integration
• Security
• Scalability
• Technical governance, with AWS as the primary cloud environment

The successful candidate will work closely with:

• Development squads
• Enterprise architects
• Security teams
• Senior client stakeholders

CONTRACT: Contractor assignment, expected October 2026 – July 2027, with potential extension

COMMITMENT: Full-time

LOCATIONS: Europe-based, preferably CEE; remote, with potential future hybrid work in Prague

PROCESS: Initial qualification followed by technical and client interviews

NOTES: Fluent English and Dutch is required.

Qualifications

• At least 10 years of professional experience across solution architecture, software architecture, cloud architecture, or comparable senior technical roles.
• Proven experience designing and governing enterprise-scale AI and application architectures on AWS.
• Strong understanding of LLM architectures, orchestration layers, and AI integration patterns.
• Experience designing secure, scalable, and highly available enterprise applications.
• Strong knowledge of enterprise integration, APIs, data platforms, security, and cloud infrastructure.
• Proven experience producing architecture documentation and technical design standards.
• Experience providing architectural leadership across multiple engineering squads.
• Fluent professional Dutch and English.

Responsibilities

• Design the end-to-end architecture for enterprise AI solutions.
• Select appropriate LLMs, orchestration frameworks, databases, and infrastructure components.
• Define secure and scalable LLM orchestration and enterprise integration patterns.
• Ensure architecture aligns with enterprise security, cloud, data handling, and governance standards.
• Lead technical discovery workshops with business, architecture, security, and engineering stakeholders.
• Produce comprehensive Architecture Design Documents (ADDs) and technical blueprints.
• Provide continuous architectural guidance to development squads during implementation.
• Review technical designs and ensure consistency with approved architecture patterns.
• Present and justify architectural, security, and scalability decisions to senior and executive stakeholders.
• Evaluate third-party AI platforms, tools, and APIs and support buy-versus-build decisions.